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Jinjing Li

Personal Details

First Name:Jinjing
Middle Name:
Last Name:Li
Suffix:
RePEc Short-ID:pli458
[This author has chosen not to make the email address public]

Affiliation

National Centre for Social and Economic Modelling (NATSEM)
University of Canberra

Canberra, Australia
http://www.natsem.canberra.edu.au/
RePEc:edi:natseau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software Chapters

Working papers

  1. Jinjing Li & Yogi Vidyattama & Hai Anh La & Riyana Miranti & Denisa M Sologon, 2020. "The Impact of COVID-19 and Policy Responses on Australian Income Distribution and Poverty," Papers 2009.04037, arXiv.org.
  2. Denisa Sologon & Cathal O’Donoghue & Iryna Kyzyma & Jinjing Li & Jules Linden & Raymond Wagener, 2020. "The COVID-19 Resilience of a Continental Welfare Regime - Nowcasting the Distributional Impact of the Crisis," LISER Working Paper Series 2020-14, LISER.
  3. LI Jinjing & LA Hai anh & SOLOGON Denisa, 2019. "Policy, demography and market income volatility: What was shaping income distribution in Australia between 2002 and 2016?," LISER Working Paper Series 2019-02, LISER.
  4. SOLOGON Denisa & VAN KERM Philippe & LI Jinjing & O'DONOGHUE Cathal, 2018. "Accounting for Differences in Income Inequality across Countries: Ireland and the United Kingdom," LISER Working Paper Series 2018-01, LISER.
  5. Li, Jinjing & Wang, Xinmei & Yuan, Chang & Xu, Jing, 2018. "The Role of Public Pensions in Income Inequality among Elderly Households in China 1988–2013," CIS Discussion paper series 674, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
  6. Jinjing Li & Alan S Duncan & Riyana Miranti, 2013. "Underemployment among Mature Aged Workers in Australia," Bankwest Curtin Economics Centre Working Paper series WP1301, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
  7. Li, Jinjing & O'Donoghue, Cathal, 2012. "A methodological survey of dynamic microsimulation models," MERIT Working Papers 2012-002, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  8. Li, Jinjing & O'Donoghue, Cathal, 2012. "Evaluating binary alignment methods in microsimulation models," MERIT Working Papers 2012-003, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  9. Li, Jinjing & O'Donoghue, Cathal, 2011. "Retirement Choice Simulation in Household Settings with Heterogeneous Pension Plans," IZA Discussion Papers 5866, Institute of Labor Economics (IZA).
  10. Li, Jinjing & Sologon, Denisa Maria, 2011. "A Continuous Labour Supply Model in Microsimulation: A Life-Cycle Modelling Approach with Heterogeneity and Uncertainty Extension," IZA Discussion Papers 6098, Institute of Labor Economics (IZA).
  11. Li, Jinjing & O'Donoghue, Cathal, 2011. "Incentives of Retirement Transition for Elderly Workers: An Analysis of Actual and Simulated Replacement Rates in Ireland," IZA Discussion Papers 5865, Institute of Labor Economics (IZA).

Articles

  1. Denisa M. Sologon & Philippe Kerm & Jinjing Li & Cathal O’Donoghue, 2021. "Accounting for differences in income inequality across countries: tax-benefit policy, labour market structure, returns and demographics," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(1), pages 13-43, March.
  2. Jinjing Li & Hai Anh La & Denisa M. Sologon, 2021. "Policy, Demography, and Market Income Volatility: What Shaped Income Distribution and Inequality in Australia Between 2002 and 2016?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 196-221, March.
  3. Jinjing Li & Michael J. Zyphur & George Sugihara & Patrick J. Laub, 2021. "Beyond linearity, stability, and equilibrium: The edm package for empirical dynamic modeling and convergent cross-mapping in Stata," Stata Journal, StataCorp LP, vol. 21(1), pages 220-258, March.
  4. Miranti, Riyana & Li, Jinjing, 2020. "Working hours mismatch, job strain and mental health among mature age workers in Australia," The Journal of the Economics of Ageing, Elsevier, vol. 15(C).
  5. Deborah J Schofield & Owen Tan & Rupendra N Shrestha & Radhika Rajkumar & Sarah West & Morgan Rice & Nadine Kasparian & Jackie Boyle & Louise Christie & Melanie Leffler & Lucinda Murray & Robert Tanto, 2020. "IDMOD: An Australian microsimulation model of lifetime economic and social factors in familial intellectual disability," International Journal of Microsimulation, International Microsimulation Association, vol. 13(1), pages 52-66.
  6. Li, Jinjing & Wang, Xinmei & Xu, Jing & Yuan, Chang, 2020. "The role of public pensions in income inequality among elderly households in China 1988–2013," China Economic Review, Elsevier, vol. 61(C).
  7. Jinjing Li & Yogi Vidyattama, 2019. "Projecting spatial population and labour force growth in Australian districts," Journal of Population Research, Springer, vol. 36(3), pages 205-232, September.
  8. Cathal O’Donoghue & Jinjing Li & Ilona Cserháti & Péter Elek & Tibor Keresztély & Tibor Takács, 2018. "The Distributional Impact of VAT Reduction for Food in Hungary: Results from a Hungarian Microsimulation Model," International Journal of Microsimulation, International Microsimulation Association, vol. 11(3), pages 2-38.
  9. Jinjing Li, 2017. "Rate decomposition for aggregate data using Das Gupta’s method," Stata Journal, StataCorp LP, vol. 17(2), pages 490-502, June.
  10. Jinjing Li & Alan Duncan & Riyana Miranti, 2015. "Underemployment among Mature-Age Workers in Australia," The Economic Record, The Economic Society of Australia, vol. 91(295), pages 438-462, December.
  11. Jinjing Li, 2015. "A Review of Spatial Microsimulation: A Reference Guide for Users," International Journal of Microsimulation, International Microsimulation Association, vol. 8(3), pages 148-151.
  12. Jinjing Li & Denisa Maria Sologon, 2014. "A Continuous Labour Supply Model in Microsimulation: A Life-Cycle Modelling Approach with Heterogeneity and Uncertainty Extension," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-15, November.
  13. Jinjing Li & Cathal O'Donoghue, 2014. "Evaluating Binary Alignment Methods in Microsimulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(1), pages 1-15.
  14. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
  15. Jinjing Li & Cathal O'Donoghue, 2012. "Simulating Histories within Dynamic Microsimulation Models," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 52-76.

Software components

  1. Jinjing Li & Michael Zyphur & Patrick Laub & Edoardo Tescari & Simon Mutch & George Sugihara, 2019. "EDM: Stata module to implement empirical dynamic modeling," Statistical Software Components S458593, Boston College Department of Economics, revised 17 Jun 2021.
  2. Jinling Li, 2015. "RDECOMPOSE: Stata module to implements Gupta's rate decomposition method for aggregated data," Statistical Software Components S458092, Boston College Department of Economics.
  3. Jinjing Li, 2014. "ALIGNMICRO: Stata module to perform alignment in microsimulation," Statistical Software Components S457855, Boston College Department of Economics.

Chapters

  1. Jinjing Li & Cathal O’Donoghue & Gijs Dekkers, 2014. "Dynamic Models," Contributions to Economic Analysis, in: Cathal O’Donoghue (ed.), Handbook of Microsimulation Modelling, volume 127, pages 305-343, Emerald Publishing Ltd.
  2. Jinjing Li & Cathal O’Donoghue & Jason Loughrey & Ann Harding, 2014. "Static Models," Contributions to Economic Analysis, in: Cathal O’Donoghue (ed.), Handbook of Microsimulation Modelling, volume 127, pages 47-75, Emerald Publishing Ltd.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jinjing Li & Yogi Vidyattama & Hai Anh La & Riyana Miranti & Denisa M Sologon, 2020. "The Impact of COVID-19 and Policy Responses on Australian Income Distribution and Poverty," Papers 2009.04037, arXiv.org.

    Cited by:

    1. Gambau, Borja & C. Palomino, Juan & G. Rodríguez, Juan & Sebastian, Raquel, 2021. "COVID-19 restrictions in the US: wage vulnerability by education, race and gender," INET Oxford Working Papers 2021-11, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    2. Borja Gambau & Juan C. Palomino & Juan G. Rodríguez & Raquel Sebastian, 2021. "COVID-19 restrictions in the US: wage vulnerability by education, race and gender," Documentos de Trabajo del ICAE 2021-08, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  2. SOLOGON Denisa & VAN KERM Philippe & LI Jinjing & O'DONOGHUE Cathal, 2018. "Accounting for Differences in Income Inequality across Countries: Ireland and the United Kingdom," LISER Working Paper Series 2018-01, LISER.

    Cited by:

    1. Hanewald, Katja & Jia, Ruo & Liu, Zining, 2021. "Why is inequality higher among the old? Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    2. Callan, Tim & Doorley, Karina & Savage, Michael, 2018. "Inequality in EU Crisis Countries: How Effective Were Automatic Stabilisers?," IZA Discussion Papers 11439, Institute of Labor Economics (IZA).
    3. SOLOGON Denisa & ALMEIDA Vanda & VAN KERM Philippe, 2019. "Accounting for the distributional effects of the 2007-2008 crisis and the Economic Adjustment Program in Portugal," LISER Working Paper Series 2019-05, LISER.
    4. O'Donoghue, Cathal & Sologon, Denisa Maria & Kyzyma, Iryna & McHale, John, 2020. "Modelling the Distributional Impact of the COVID-19 Crisis," IZA Discussion Papers 13235, Institute of Labor Economics (IZA).
    5. Laurent Piet & M Benoit & V Chatellier & K. Hervé Dakpo & N Delame & Yann Desjeux & P Dupraz & M Gillot & P Jeanneaux & C Laroche-Dupraz & A Ridier & E Samson & P Veysset & P Avril & C Beaudouin & S , 2020. "Hétérogénéité, déterminants et trajectoires du revenu des agriculteurs français," Working Papers hal-02877320, HAL.
    6. Denisa M. Sologon & Philippe Kerm & Jinjing Li & Cathal O’Donoghue, 2021. "Accounting for differences in income inequality across countries: tax-benefit policy, labour market structure, returns and demographics," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(1), pages 13-43, March.
    7. LI Jinjing & LA Hai anh & SOLOGON Denisa, 2019. "Policy, demography and market income volatility: What was shaping income distribution in Australia between 2002 and 2016?," LISER Working Paper Series 2019-02, LISER.
    8. Nerijus Cerniauskas & Denisa M. Sologon & Cathal O’Donoghue & Linas Tarasonis, 2020. "Changes in income inequality in Lithuania: the role of policy, labour market structure, returns and demographics," Bank of Lithuania Working Paper Series 71, Bank of Lithuania.

  3. Li, Jinjing & Wang, Xinmei & Yuan, Chang & Xu, Jing, 2018. "The Role of Public Pensions in Income Inequality among Elderly Households in China 1988–2013," CIS Discussion paper series 674, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.

    Cited by:

    1. Hanewald, Katja & Jia, Ruo & Liu, Zining, 2021. "Why is inequality higher among the old? Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    2. Li Yang, 2021. "Towards equity and sustainability? China’s pension system reform moves center stage," World Inequality Lab Working Papers halshs-03215912, HAL.
    3. Li Yang, 2021. "Towards equity and sustainability? China’s pension system reform moves center stage," Working Papers halshs-03215912, HAL.

  4. Jinjing Li & Alan S Duncan & Riyana Miranti, 2013. "Underemployment among Mature Aged Workers in Australia," Bankwest Curtin Economics Centre Working Paper series WP1301, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.

    Cited by:

    1. Michael Coelli & Domenico Tabasso, 2019. "Where are the returns to lifelong learning?," Empirical Economics, Springer, vol. 57(1), pages 205-237, July.
    2. T. Kifle & P. Kler & S. Shankar, 2019. "The Underemployment-Job Satisfaction Nexus: A Study of Part-Time Employment in Australia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 233-249, May.
    3. Parvinder Kler & Azhar Hussain Potia & Sriram Shankar, 2018. "Underemployment in Australia: a panel investigation," Applied Economics Letters, Taylor & Francis Journals, vol. 25(1), pages 24-28, January.
    4. Miranti, Riyana & Li, Jinjing, 2020. "Working hours mismatch, job strain and mental health among mature age workers in Australia," The Journal of the Economics of Ageing, Elsevier, vol. 15(C).
    5. Azad, A.K. & Rasul, M.G. & Khan, M.M.K. & Sharma, Subhash C. & Mofijur, M. & Bhuiya, M.M.K., 2016. "Prospects, feedstocks and challenges of biodiesel production from beauty leaf oil and castor oil: A nonedible oil sources in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 302-318.
    6. Lim, Eunjung, 2016. "Multilateral approach to the back end of the nuclear fuel cycle in Asia-Pacific?," Energy Policy, Elsevier, vol. 99(C), pages 158-164.
    7. Lampel, Joseph & Bhalla, Ajay & Jha, Pushkar P., 2014. "Does governance confer organisational resilience? Evidence from UK employee owned businesses," European Management Journal, Elsevier, vol. 32(1), pages 66-72.
    8. T. Kifle & P. Kler & S. Shankar, 2017. "Underemployment and its impact on job satisfaction: An Australian study on part-time employment," Discussion Papers in Economics economics:201712, Griffith University, Department of Accounting, Finance and Economics.

  5. Li, Jinjing & O'Donoghue, Cathal, 2012. "A methodological survey of dynamic microsimulation models," MERIT Working Papers 2012-002, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    Cited by:

    1. Alessandra Caretta & Sara Flisi & Cecilia Frale & Michele Raitano & Simone Tedeschi, 2013. "T-DYMM : the treasury dynamic microsimulation model of the Italian pension system," Working Papers 11, Department of the Treasury, Ministry of the Economy and of Finance.
    2. Matteo G. Richiardi, 2012. "Forecasting with Unobserved Heterogeneity," LABORatorio R. Revelli Working Papers Series 123, LABORatorio R. Revelli, Centre for Employment Studies.
    3. Franziska Gassmann & Cecile Cherrier & Andrés Mideros Mora & Pierre Mohnen, 2013. "Making the Investment Case for Social Protection: Methodological challenges with lessons learnt from a recent study in Cambodia," Papers inwopa694, Innocenti Working Papers.
    4. Mideros A. & Gassmann F. & Mohnen P., 2013. "Estimation of rates of return of social protection instruments. Making the case for non-contributory social transfers in Cambodia," MERIT Working Papers 2013-063, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

  6. Li, Jinjing & O'Donoghue, Cathal, 2012. "Evaluating binary alignment methods in microsimulation models," MERIT Working Papers 2012-003, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    Cited by:

    1. Ross Richardson & Matteo G. Richiardi, 2016. "JAS-mine: A new platform for microsimulation and agent-based modelling," LABORatorio R. Revelli Working Papers Series 147, LABORatorio R. Revelli, Centre for Employment Studies.
    2. O'Donoghue, Cathal & Sologon, Denisa Maria & Kyzyma, Iryna & McHale, John, 2020. "Modelling the Distributional Impact of the COVID-19 Crisis," IZA Discussion Papers 13235, Institute of Labor Economics (IZA).
    3. Barry J. Milne & Roy Lay-Yee & Jessica M. Mc Lay & Janet Pearson & Martin von Randow & Peter Davis, 2015. "Modelling the Early life-course (MELC): A Microsimulation Model of Child Development in New Zealand," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 28-60.
    4. Jan Pablo Burgard & Joscha Krause & Simon Schmaus, 2019. "Estimation of Regional Transition Probabilities for Spatial Dynamic Microsimulations from Survey Data Lacking in Regional Detail," Research Papers in Economics 2019-12, University of Trier, Department of Economics.
    5. Gijs Dekkers & Richard Cumpston, 2012. "On weights in dynamic-ageing microsimulation models," International Journal of Microsimulation, International Microsimulation Association, vol. 5(2), pages 59-65.
    6. Geyer, Johannes, 2021. "Die Folgen der Corona-Krise für die Anwartschaften an die gesetzliche Rentenversicherung," Working Paper Forschungsförderung 216, Hans-Böckler-Stiftung, Düsseldorf.
    7. Burgard, Jan Pablo & Krause, Joscha & Schmaus, Simon, 2021. "Estimation of regional transition probabilities for spatial dynamic microsimulations from survey data lacking in regional detail," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    8. Matteo Richiardi, 2016. "Editorial," International Journal of Microsimulation, International Microsimulation Association, vol. 9(3), pages 1-4.
    9. Jan Pablo Burgard & Hanna Dieckmann & Joscha Krause & Hariolf Merkle & Ralf Münnich & Kristina M. Neufang & Simon Schmaus, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
    10. Luis Huesca & Linda Llamas & H. Xavier Jara & César O. Vargas Téllez & David Rodríguez, 2021. "The impact of the COVID-19 pandemic on poverty and inequality in Mexico," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-19, Julio - S.

  7. Li, Jinjing & O'Donoghue, Cathal, 2011. "Retirement Choice Simulation in Household Settings with Heterogeneous Pension Plans," IZA Discussion Papers 5866, Institute of Labor Economics (IZA).

    Cited by:

Articles

  1. Denisa M. Sologon & Philippe Kerm & Jinjing Li & Cathal O’Donoghue, 2021. "Accounting for differences in income inequality across countries: tax-benefit policy, labour market structure, returns and demographics," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(1), pages 13-43, March.

    Cited by:

    1. Karina Doorley & Tim Callan & Michael Savage, 2021. "What drove income inequality in EU crisis countries during the Great Recession?," Fiscal Studies, John Wiley & Sons, vol. 42(2), pages 319-343, June.

  2. Jinjing Li & Hai Anh La & Denisa M. Sologon, 2021. "Policy, Demography, and Market Income Volatility: What Shaped Income Distribution and Inequality in Australia Between 2002 and 2016?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 196-221, March.

    Cited by:

    1. Yanotti, Maria B. & Banks, Marcus & de Silva, Ashton & Anantharama, Nandini & Peter Whiteford, & Bowman, Dina & Csereklyei, Zsuzsanna, 2021. "The utility of new data in understanding housing insecurity," SocArXiv qb4d2, Center for Open Science.

  3. Miranti, Riyana & Li, Jinjing, 2020. "Working hours mismatch, job strain and mental health among mature age workers in Australia," The Journal of the Economics of Ageing, Elsevier, vol. 15(C).

    Cited by:

    1. Awaworyi Churchill, Sefa & Munyanyi, Musharavati Ephraim & Prakash, Kushneel & Smyth, Russell, 2020. "Locus of control and the gender gap in mental health," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 740-758.

  4. Li, Jinjing & Wang, Xinmei & Xu, Jing & Yuan, Chang, 2020. "The role of public pensions in income inequality among elderly households in China 1988–2013," China Economic Review, Elsevier, vol. 61(C).
    See citations under working paper version above.
  5. Jinjing Li, 2017. "Rate decomposition for aggregate data using Das Gupta’s method," Stata Journal, StataCorp LP, vol. 17(2), pages 490-502, June.

    Cited by:

    1. Michael Stucki, 2021. "Factors related to the change in Swiss inpatient costs by disease: a 6-factor decomposition," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(2), pages 195-221, March.
    2. Nie, Peng & Ding, Lanlin & Sousa-Poza, Alfonso, 2019. "Decomposing adult obesity trends in China (1991–2011)," Economics & Human Biology, Elsevier, vol. 34(C), pages 5-15.

  6. Jinjing Li & Alan Duncan & Riyana Miranti, 2015. "Underemployment among Mature-Age Workers in Australia," The Economic Record, The Economic Society of Australia, vol. 91(295), pages 438-462, December.
    See citations under working paper version above.
  7. Jinjing Li, 2015. "A Review of Spatial Microsimulation: A Reference Guide for Users," International Journal of Microsimulation, International Microsimulation Association, vol. 8(3), pages 148-151.

    Cited by:

    1. Matteo Richiardi, 2018. "Editorial," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 1-3.

  8. Jinjing Li & Cathal O'Donoghue, 2014. "Evaluating Binary Alignment Methods in Microsimulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(1), pages 1-15.
    See citations under working paper version above.
  9. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.

    Cited by:

    1. Matteo Richiardi, 2018. "Editorial," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 1-3.
    2. Justin van de Ven, 2016. "LINDA: A dynamic microsimulation model for analysing policy effects on the evolving population cross-section," National Institute of Economic and Social Research (NIESR) Discussion Papers 459, National Institute of Economic and Social Research.
    3. Frederik Priem & Philip Stessens & Frank Canters, 2020. "Microsimulation of Residential Activity for Alternative Urban Development Scenarios: A Case Study on Brussels and Flemish Brabant," Sustainability, MDPI, Open Access Journal, vol. 12(6), pages 1-28, March.
    4. Vincenzo Atella & Federico Belotti & Ludovico Carrino & Andrea Piano Mortari, 2017. "The future of Long Term Care in Europe. An investigation using a dynamic microsimulation model," CEIS Research Paper 405, Tor Vergata University, CEIS, revised 08 May 2017.
    5. Bonin, Holger & Reuss, Karsten & Stichnoth, Holger, 2015. "Life-cycle incidence of family policy measures in Germany: Evidence from a dynamic microsimulation model," ZEW Discussion Papers 15-036, ZEW - Leibniz Centre for European Economic Research.
    6. Ross Richardson & Matteo G. Richiardi, 2016. "JAS-mine: A new platform for microsimulation and agent-based modelling," LABORatorio R. Revelli Working Papers Series 147, LABORatorio R. Revelli, Centre for Employment Studies.
    7. Meritxell Solé & Guadalupe Souto & Concepció Patxot, 2019. "Sustainability and Adequacy of the Spanish Pension System after the 2013 Reform: A Microsimulation Analysis," Hacienda Pública Española / Review of Public Economics, IEF, vol. 228(1), pages 109-150, March.
    8. Sebastian Dräger & Johannes Kopp & Ralf Münnich & Simon Schmaus, 2021. "Analyse der Grundschulversorgung mit Hilfe kleinräumiger Mikrosimulationsmodelle," Research Papers in Economics 2021-01, University of Trier, Department of Economics.
    9. Leonardo Eric CALCAGNO, 2017. "Does the introduction of non-contributory social benefits discourage registered labour? Testing the impact of pension moratoriums on unregistered employment in Argentina (2003-2015)," LEO Working Papers / DR LEO 2383, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    10. Jinjing Li & Yogi Vidyattama, 2019. "Projecting spatial population and labour force growth in Australian districts," Journal of Population Research, Springer, vol. 36(3), pages 205-232, September.
    11. David N Wear & Jeffrey P Prestemon, 2019. "Spatiotemporal downscaling of global population and income scenarios for the United States," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-19, July.
    12. Concepció Patxot & Meritxell Solé & Guadalupe Souto & Martin Spielauer, 2018. "The Impact of the Retirement Decision and Demographics on Pension Sustainability: A Dynamic Microsimulation Analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 84-108.
    13. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 5-51.
    14. Hloušková, Z. & Lekešová, M. & Slížka, E., 2014. "Microsimulation Model Estimating Czech Farm Income from Farm Accountancy Data Network Database," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(3), pages 1-11, September.
    15. Rolf Aaberge & Ugo Colombino, 2018. "Structural Labour Supply Models and Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 162-197.
    16. Jan Pablo Burgard & Joscha Krause & Simon Schmaus, 2019. "Estimation of Regional Transition Probabilities for Spatial Dynamic Microsimulations from Survey Data Lacking in Regional Detail," Research Papers in Economics 2019-12, University of Trier, Department of Economics.
    17. Rolf Aaberge & Ugo Colombino, 2015. "Labour Supply models," Discussion Papers 807, Statistics Norway, Research Department.
    18. Didier Blanchet & Cyrille Hagneré & François Legendre & Florence Thibault, 2015. "Introduction. Microsimulations statique et dynamique appliquées aux politiques fiscales et sociales : modèles et méthodes," Économie et Statistique, Programme National Persée, vol. 481(1), pages 5-30.
    19. Maria Cozzolino & Marco Di Marco, 2015. "Micromodelling Italian Taxes and Social Policies," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 17(2), pages 17-26.
    20. Courtioux, Pierre & Lignon, Vincent, 2016. "A good career or a good marriage: The returns of higher education in France," Economic Modelling, Elsevier, vol. 57(C), pages 221-237.
    21. GENEVOIS Anne-Sophie & LIEGEOIS Philippe & PI ALPERIN Maria Noel, 2019. "DyMH_LU: a simple tool for modelling and simulating the health status of the Luxembourgish elderly in the longer run," LISER Working Paper Series 2019-06, LISER.
    22. Joachim Merz & Lars Rusch, 2015. "MICSIM-4j - A General Microsimulation Model User Guide (Version 1.1)," FFB-Discussionpaper 100, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    23. Leonardo Eric CALCAGNO, 2017. "Does the introduction of non-contributory social benefits discourage registered labour? Testing the impact of pension moratoriums on unregistered employment in Argentina (2003-2015)," LEO Working Papers / DR LEO 2526, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    24. Courtioux, Pierre & Gregoir, Stéphane & Houeto, Dede, 2014. "Modelling the distribution of returns on higher education: A microsimulation approach," Economic Modelling, Elsevier, vol. 38(C), pages 328-340.
    25. Maria Winkler-Dworak & Eva Beaujouan & Paola Di Giulio & Martin Spielauer, 2019. "Simulating Family Life Courses: An Application for Italy, Great Britain, and Scandinavia," VID Working Papers 1908, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    26. Leonardo Eric Calcagno, 2017. "Does the introduction of non-contributory social benefits discourage registered labour? Testing the impact of pension moratoriums on unregistered employment in Argentina (2003-2015)," Working Papers hal-01611132, HAL.
    27. Vékás, Péter, 2015. "Az egyéni munkaerő-piaci aktivitás becslése mikroszimulációs modellkeretben [Estimating individual labor market activity in Hungary in a microsimulation framework]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1291-1308.
    28. Justin van de Ven, 2017. "Exploring the Importance of Incentive Responses for Policy Projections," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 134-164.
    29. Bonin, Holger & Camarero Garcia, Sebastian & Lay, Max & Liu, Vivien & Neisser, Carina & Ody, Margard & Riedel, Lukas & Stichnoth, Holger & Ungerer, Martin & Wehrhöfer, Nils, 2018. "Machbarkeitsstudie und Ableitung von Forschungsfragen zu Bedeutung, Inanspruchnahme und Verteilungswirkungen von gesellschaftlich notwendigen Dienstleistungen. Endbericht," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 184658.
    30. Denisa Sologon, 2014. "Book review: New Pathways to Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 7(3), pages 80-86.
    31. Burgard, Jan Pablo & Krause, Joscha & Schmaus, Simon, 2021. "Estimation of regional transition probabilities for spatial dynamic microsimulations from survey data lacking in regional detail," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    32. Holger Bonin & Karsten Reuss & Holger Stichnoth, 2016. "The Monetary Value of Family Policy Measures in Germany over the Life Cycle: Evidence from a Dynamic Microsimulation Model," CESifo Economic Studies, CESifo, vol. 62(4), pages 650-671.
    33. Maria Winkler-Dworak & Eva Beaujouan & Paola Di Giulio & Martin Spielauer, 2021. "Simulating family life courses: An application for Italy, Great Britain, Norway, and Sweden," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(1), pages 1-48.
    34. Ranđelović Saša & Žarković Rakić Jelena & Vladisavljević Marko & Vujić Sunčica, 2019. "Labour Supply and Inequality Effects of In-Work Benefits: Evidence from Serbia," Naše gospodarstvo/Our economy, Sciendo, vol. 65(3), pages 1-22, September.
    35. Boumezoued, Alexandre & Hardy, Héloïse Labit & El Karoui, Nicole & Arnold, Séverine, 2018. "Cause-of-death mortality: What can be learned from population dynamics?," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 301-315.
    36. van de Ven, Justin, 2017. "SIDD: An adaptable framework for analysing the distributional implications of policy alternatives where savings and employment decisions matter," Economic Modelling, Elsevier, vol. 63(C), pages 161-174.
    37. Andreas Peichl, 2016. "Linking Microsimulation and CGE models," International Journal of Microsimulation, International Microsimulation Association, vol. 9(1), pages 167-174.
    38. Rupendra N Shrestha & Deborah Schofield & Melanie J B Zeppel & Michelle M Cunich & Robert Tanton & Simon J Kelly & Lennert Veerman & Megan E Passey, 2018. "Care&WorkMOD: An Australian Microsimulation Model Projecting the Economic Impacts of Early Retirement in Informal Carers," International Journal of Microsimulation, International Microsimulation Association, vol. 11(3), pages 78-99.
    39. Li Tan & Cory Koedel, 2017. "The Effects of Differential Income Replacement and Mortality on U.S. Social Security Redistribution," Working Papers 1701, Department of Economics, University of Missouri, revised Jun 2019.
    40. Tony Lawson, 2016. "How the Ageing Population Contributes to UK Economic Activity: A Microsimulation Analysis," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(5), pages 497-518, November.
    41. Jan Pablo Burgard & Hanna Dieckmann & Joscha Krause & Hariolf Merkle & Ralf Münnich & Kristina M. Neufang & Simon Schmaus, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
    42. Stavroula A Chrysanthopoulou, 2017. "MILC: A Microsimulation Model of the Natural History of Lung Cancer," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 5-26.
    43. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries APPENDIX," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 52-83.

  10. Jinjing Li & Cathal O'Donoghue, 2012. "Simulating Histories within Dynamic Microsimulation Models," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 52-76.

    Cited by:

    1. Matteo Richiardi & Ambra Poggi, 2012. "Imputing Individual Effects in Dynamic Microsimulation Models. An application of the Rank Method," Carlo Alberto Notebooks 267, Collegio Carlo Alberto.
    2. Sheu, Jiuh-Biing & Wu, Hsi-Jen, 2015. "Driver perception uncertainty in perceived relative speed and reaction time in car following – A quantum optical flow perspective," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 257-274.
    3. Leonardo Eric CALCAGNO, 2017. "Does the introduction of non-contributory social benefits discourage registered labour? Testing the impact of pension moratoriums on unregistered employment in Argentina (2003-2015)," LEO Working Papers / DR LEO 2526, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    4. Li, Jinjing & O'Donoghue, Cathal, 2012. "A methodological survey of dynamic microsimulation models," MERIT Working Papers 2012-002, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Leonardo Eric Calcagno, 2017. "Does the introduction of non-contributory social benefits discourage registered labour? Testing the impact of pension moratoriums on unregistered employment in Argentina (2003-2015)," Working Papers hal-01611132, HAL.
    6. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.

Software components

    Sorry, no citations of software components recorded.

Chapters

  1. Jinjing Li & Cathal O’Donoghue & Gijs Dekkers, 2014. "Dynamic Models," Contributions to Economic Analysis, in: Cathal O’Donoghue (ed.), Handbook of Microsimulation Modelling, volume 127, pages 305-343, Emerald Publishing Ltd.

    Cited by:

    1. Islam, Nizamul & Flood, Lennart, 2015. "A Tax Benefit Model for Policy Evaluation in Luxembourg: LuxTaxBen," IZA Discussion Papers 9152, Institute of Labor Economics (IZA).
    2. Gál, Róbert Iván & Törzsök, Árpád, 2015. "Háztartás-formálódás a MIDAS modellben [Household formation in the MIDAS-HU model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1343-1358.
    3. Oihana Aristondo, 2018. "Poverty Decomposition in Incidence, Intensity and Inequality. A Review," Hacienda Pública Española / Review of Public Economics, IEF, vol. 225(2), pages 109-130, June.
    4. Susan M. Rogers & James Rineer & Matthew D. Scruggs & William D. Wheaton & Phillip C. Cooley & Douglas J. Roberts & Diane K. Wagener, 2014. "A Geospatial Dynamic Microsimulation Model for Household Population Projections," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 119-146.
    5. Barry J. Milne & Roy Lay-Yee & Jessica M. Mc Lay & Janet Pearson & Martin von Randow & Peter Davis, 2015. "Modelling the Early life-course (MELC): A Microsimulation Model of Child Development in New Zealand," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 28-60.
    6. Dina Frommert, 2015. "Spot On or Way Off? Validating Results of the AVID Microsimulation Model Retrospectively," International Journal of Microsimulation, International Microsimulation Association, vol. 8(1), pages 3-32.
    7. Niels Erik Kaaber Rasmussen & Peter Stephensen, 2014. "A Microsimulation Model for Educational Forecasting," DREAM Working Paper Series 201402, Danish Rational Economic Agents Model, DREAM.
    8. Manuel García & Juan M. Nave, 2018. "Impacto en las prestaciones de jubilación de la reforma del sistema público de pensiones español," Hacienda Pública Española / Review of Public Economics, IEF, vol. 224(1), pages 113-137, March.
    9. Deborah J Schofield & Melanie J B Zeppel & Owen Tan & Sharyn Lymer & Michelle M Cunich & Rupendra N Shrestha, 2018. "A Brief, Global History of Microsimulation Models in Health: Past Applications, Lessons Learned and Future Directions," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 97-142.
    10. Gijs Dekkers & Ekaterina Tarantchenko & Karel Van den Bosch, 2019. "Working Paper 03-19 - Medium-term projection for Belgium of the at-risk-of-poverty and social exclusion indicators based on EU-SILC [Working Paper 03-19 - Prévisions à moyen terme des indicateurs ," Working Papers 1903, Federal Planning Bureau, Belgium.
    11. Zsolt Szabo, 2019. "Pensioners in Smart City - The Models of the Smart Pension System," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(1-A), pages 40-50.
    12. Li, Jinjing & O'Donoghue, Cathal, 2012. "A methodological survey of dynamic microsimulation models," MERIT Working Papers 2012-002, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    13. Yves Brys, 2017. "Working Paper 06-17 - Accrued-to-date pension entitlements in Belgium," Working Papers 1706, Federal Planning Bureau, Belgium.
    14. Vékás, Péter, 2015. "Az egyéni munkaerő-piaci aktivitás becslése mikroszimulációs modellkeretben [Estimating individual labor market activity in Hungary in a microsimulation framework]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1291-1308.
    15. Denisa Sologon, 2014. "Book review: New Pathways to Microsimulation," International Journal of Microsimulation, International Microsimulation Association, vol. 7(3), pages 80-86.
    16. Matteo G. Richiardi & Michele Sonnessa, 2013. "JAS 2: a new Java platform for AB modeling and dynamic microsimulation," LABORatorio R. Revelli Working Papers Series 134, LABORatorio R. Revelli, Centre for Employment Studies.
    17. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
    18. Rézmovits, Ádám, 2015. "Nyugdíjkiszámítási rendszerek összehasonlító vizsgálata. A magyar MIDAS előrejelző rendszer nyugdíjmodulja [A comparative survey of pension-calculating systems. The pension model of the MIDAS_HU fo," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1309-1327.
    19. Zsolt Szabó, 2016. "Microsimulation Modelling of the Pension System," Proceedings of FIKUSZ 2016, in: Regina Zsuzsánna Reicher (ed.),Proceedings of FIKUSZ '16, pages 141-150, Óbuda University, Keleti Faculty of Business and Management.
    20. Flavia Coda Moscarola & Margherita Borella, 2015. "The 2011 Pension Reform in Italy and its Effects on Current and Future Retirees," CeRP Working Papers 151, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    21. Kovács, Erzsébet & Rézmovits, Ádám, 2015. "Előszó," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1225-1228.
    22. Dekkers, Gijs & Desmet, Raphaël, 2011. "Taking two to tango: the joint prospective assessment of pension sustainability and adequacy in Belgium," MPRA Paper 36138, University Library of Munich, Germany.

  2. Jinjing Li & Cathal O’Donoghue & Jason Loughrey & Ann Harding, 2014. "Static Models," Contributions to Economic Analysis, in: Cathal O’Donoghue (ed.), Handbook of Microsimulation Modelling, volume 127, pages 47-75, Emerald Publishing Ltd.

    Cited by:

    1. Tobias Schoch & André Müller, 2020. "Treatment of sample under-representation and skewed heavy-tailed distributions in survey-based microsimulation: An analysis of redistribution effects in compulsory health care insurance in Switzerland," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 14(3), pages 267-304, December.
    2. Ugo Colombino, 2015. "The Istat Microsimulation Models," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 17(2), pages 5-15.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (5) 2011-08-09 2011-08-09 2011-11-21 2012-02-20 2021-01-18. Author is listed
  2. NEP-LAB: Labour Economics (5) 2011-08-09 2011-08-09 2011-11-21 2012-02-20 2013-12-15. Author is listed
  3. NEP-AGE: Economics of Ageing (3) 2011-08-09 2011-08-09 2019-01-14
  4. NEP-LMA: Labor Markets - Supply, Demand, & Wages (3) 2011-08-09 2011-08-09 2021-01-18
  5. NEP-DEM: Demographic Economics (2) 2011-08-09 2011-08-09
  6. NEP-EUR: Microeconomic European Issues (2) 2011-08-09 2018-01-22
  7. NEP-CNA: China (1) 2019-01-14
  8. NEP-DCM: Discrete Choice Models (1) 2013-12-15
  9. NEP-PUB: Public Finance (1) 2019-01-14
  10. NEP-TRA: Transition Economics (1) 2019-01-14

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